An Update on Hepatorenal Syndrome by Samuel Chan, Kenneth Au, Ross Francis, David W Mudge, David W Johnson, Tony Rahman

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Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them by N. Yadav

“…Hence, this study presents the most relevant of these issues, posing new challenges for legal scholars and practitioners to develop the regulation of artificial intelligence and robotics in terms of technology moralization.Methods: the research used practice- and risk-oriented approaches, complemented by multidisciplinary analysis of documents (European principles and codes of ethics) and studies, including those devoted to various problems of artificial intelligence and robotics.Results: the article identifies key ethical issues in the field of artificial intelligence and robotics. …”
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Semi-Implicit Continuous Newton Method for Power Flow Analysis by Ruizhi Yu, Wei Gu, Yijun Xu, Shuai Lu, Suhan Zhang

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Digital Twin-Driven Virtual–Real Hybrid Framework Based on Parameter Identification for Bearing Thermal Prediction by Yu Wang, Qingbin Tong, Luqiang Yang, Junci Cao, Jiang Cao

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Speech Enhancement Using Sliding Window Empirical Mode Decomposition and Hurst-based Technique by Selvaraj POOVARASAN, Eswaran CHANDRA

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The Usage of Artificial Intelligence (Artificial Intelligence) as material for consideration of the judge's decision In the Criminal Justice System in Indonesia by Syamsul Fatoni, Erma Rusdiana

“…It is recommended that the use of AI in legal proceedings should not only focus on algorithm-based legal aspects but also take into account non-legal aspects such as humanitarian, social, and economic conditions that contribute to criminal activities. …”
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Cancer staging diagnosis based on transcriptomics and variational autoencoder by LI Jiarui, QIAN Li, SHEN Junjie

“…With the aid of variational autoencoder, we developed an incremental feature ranking and selection variational autoencoder (IFRSVAE) based on feature importance ranking and incorporating the masking algorithm and the Incremental Feature Selection (IFS). …”
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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

“…Our results show that the Random Forest algorithm achieved the highest accuracy with 98 %.This research shows how machine learning techniques embedded in learning analytics could expand the functionalities of VLEs toward greater personalization and effectiveness, with every student receiving the best educational experience that suits their learning styles.…”
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Soil Parameter Inversion in Dredger Fill Strata Using GWO-MLSSVR for Deep Foundation Pit Engineering by Changrui Chen, Sifan Li, Jinbi Ye, Fangjian Chen, Yibin Wu, Jin Yu, Yanyan Cai, Jinna Lin, Xianqi Zhou

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SABO-Optimized VMD for Seismic Damage Assessment of Frame Structures Considering Soil–Structure Interaction by Jian Zhou, Yaokang Zhang, Hehe Wang, Jinping Yang, Peizhen Li, Jingxia Wang

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Smart Maritime Transportation-Oriented Ship-Speed Prediction Modeling Using Generative Adversarial Networks and Long Short-Term Memory by Xinqiang Chen, Peishi Wu, Yajie Zhang, Xiaomeng Wang, Jiangfeng Xian, Han Zhang

“…Ship-speed prediction is an emerging research area in marine traffic safety and other related fields, occupying an important position with respect to these areas. …”
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Method of joint wavelet thresholding and F-NLM de-noising for high-resolution SAR ship detection by Liang TONG, Dan LIU, Zhongbo PENG, Han ZOU, Lumeng WANG, Chunyu ZHANG

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DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification by Jiecheng Wu, Zhaoliang Chen, Shunxin Xiao, Genggeng Liu, Wenjie Wu, Shiping Wang

“…Results To address the challenges of multi-omics research, our approach DeepMoIC presents a novel framework derived from deep Graph Convolutional Network (GCN). …”
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Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea by Xiaotong Qu, Chengbo Wang, Chengbo Wang, Ruijia Zhao, Mingxing Fang, Mingxing Fang, Mingxing Fang, Xinlian Xie

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Enhanced Flow Rate-Based Queuing Discipline for Contention Avoidance in SD-WANs by Pavan Iddalagi, Amrita Mishra

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Three-Dimensional Phenotyping Pipeline of Potted Plants Based on Neural Radiation Fields and Path Segmentation by Xinghui Zhu, Zhongrui Huang, Bin Li

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DECONSTRUCTING NARRATIVE STRUCTURE: A LINGUISTIC FRAMEWORK FOR CT-BASED SHORT STORY WRITING by Fransiska Marta Sari, Mudhar, Riyati, Sri Utami

“… This research addresses the persistent difficulties students face in developing story ideas, creating interesting plots, describing characters and settings, and composing well-structured sentences. …”
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Parametric-modeling-based multi-objective thermoelastic optimization of rudder structures by Shi Guanghui, Bao Yuhao, Wu Wenhua, Guo Guiqiang, Lin Ye, Zhang Xiaopeng, Tao Ran

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Multispectral Land Surface Reflectance Reconstruction Based on Non-Negative Matrix Factorization: Bridging Spectral Resolution Gaps for GRASP TROPOMI BRDF Product in Visible by Weizhen Hou, Xiong Liu, Jun Wang, Cheng Chen, Xiaoguang Xu

“…This study introduces a method to enhance multispectral surface reflectance data by reconstructing additional spectral information, particularly in the visible spectral range, using the TROPOMI BRDF product generated by the Generalized Retrieval of Atmosphere and Surface Properties (GRASP) algorithm. Employing non-negative matrix factorization (NMF), the approach extracts spectral basis vectors from reference spectral libraries and reconstructs key spectral features using a limited number of wavelength bands. …”
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An Explainable Fuzzy Framework for Assessing Preeclampsia Classification by Matías Salinas, Daira Velandia, Leondry Mayeta-Revilla, Ayleen Bertini, Marvin Querales, Fabian Pardo, Rodrigo Salas

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